"""simple docstring"""


from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame





def      lowerCamelCase_					(   __lowerCAmelCase = "laptop"							)				->   DataFrame:




						'''simple docstring'''



						lowerCamelCase__   =F'''https://www.amazon.in/laptop/s?k={product}'''
						lowerCamelCase__   ={
						    "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\n        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36",
						    "Accept-Language": "en-US, en;q=0.5",
						}
						lowerCamelCase__   =BeautifulSoup(requests.get(__lowerCAmelCase  ,       headers=__lowerCAmelCase							).text							)
						# Initialize a Pandas dataframe with the column titles
						lowerCamelCase__   =DataFrame(
						    columns=[
						        "Product Title",
						        "Product Link",
						        "Current Price of the product",
						        "Product Rating",
						        "MRP of the product",
						        "Discount",
						    ]							)
						# Loop through each entry and store them in the dataframe
						for item, _ in zip_longest(
						    soup.find_all(
						        "div"  ,       attrs={"class": "s-result-item", "data-component-type": "s-search-result"}  ,       )  ,       soup.find_all("div"  ,       attrs={"class": "a-row a-size-base a-color-base"}							)  ,       ):
												try:
																		lowerCamelCase__   =item.ha.text
																		lowerCamelCase__   ="https://www.amazon.in/" + item.ha.a["href"]
																		lowerCamelCase__   =item.find("span"  ,       attrs={"class": "a-offscreen"}							).text
																		try:
																								lowerCamelCase__   =item.find("span"  ,       attrs={"class": "a-icon-alt"}							).text
																		except AttributeError:
																								lowerCamelCase__   ="Not available"
																		try:
																								lowerCamelCase__   =(
																								    "₹"
																								    + item.find(
																								        "span"  ,       attrs={"class": "a-price a-text-price"}							).text.split("₹"							)[1]
																								)
																		except AttributeError:
																								lowerCamelCase__   =""
																		try:
																								lowerCamelCase__   =float(
																								    (
																								        (
																								            float(product_mrp.strip("₹"							).replace(","  ,       ""							)							)
																								            - float(product_price.strip("₹"							).replace(","  ,       ""							)							)
																								        )
																								        / float(product_mrp.strip("₹"							).replace(","  ,       ""							)							)
																								    )
																								    * 100							)
																		except ValueError:
																								lowerCamelCase__   =float("nan"							)
												except AttributeError:
																		pass
												lowerCamelCase__   =[
												    product_title,
												    product_link,
												    product_price,
												    product_rating,
												    product_mrp,
												    discount,
												]
						lowerCamelCase__   =" "
						lowerCamelCase__   =" "
						data_frame.index += 1
						return data_frame


if __name__ == "__main__":
	a				='headphones'
	get_amazon_product_data(product).to_csv(F'''Amazon Product Data for {product}.csv''')



"""simple docstring"""


import random





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase  ,       __lowerCAmelCase = False							)				->   dict:




						'''simple docstring'''



						lowerCamelCase__   ={i: [] for i in range(__lowerCAmelCase							)}

						# if probability is greater or equal than 1, then generate a complete graph
						if probability >= 1:
												return complete_graph(__lowerCAmelCase							)
						# if probability is lower or equal than 0, then return a graph without edges
						if probability <= 0:
												return graph

						# for each couple of nodes, add an edge from u to v
						# if the number randomly generated is greater than probability probability
						for i in range(__lowerCAmelCase							):
												for j in range(i + 1  ,       __lowerCAmelCase							):
																		if random.random() < probability:
																								graph[i].append(__lowerCAmelCase							)
																								if not directed:
																														# if the graph is undirected, add an edge in from j to i, either
																														graph[j].append(__lowerCAmelCase							)
						return graph





def      lowerCamelCase_					(   __lowerCAmelCase							)				->   dict:




						'''simple docstring'''



						return {
						    i: [j for j in range(__lowerCAmelCase							) if i != j] for i in range(__lowerCAmelCase							)
						}


if __name__ == "__main__":
	import doctest

	doctest.testmod()


